Description
New Horizons in Evolutionary Robotics, 2011
Extended Contributions from the 2009 EvoDeRob Workshop
Studies in Computational Intelligence Series, Vol. 341
Coordinators: Doncieux Stéphane, Bredeche Nicolas, Mouret Jean-Baptiste
Language: EnglishPublication date: 04-2013
228 p. · 15.5x23.5 cm · Paperback
Publication date: 02-2011
228 p. · 15.5x23.5 cm · Hardback
Description
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This book takes its roots in the workshop on "New Horizons in Evolutionary Design of Robots" that brought together researchers from Computer Science and Robotics during the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2009) in Saint Louis (USA). This book features extended contributions from the workshop, thus providing various examples of current problems and applications, with a special emphasis on the link between Computer Science and Robotics. It also provides a comprehensive and up-to-date introduction to Evolutionary Robotics after 20 years of maturation as well as thoughts and considerations from several major actors in the field.
This book offers a comprehensive introduction to the current trends and challenges in Evolutionary Robotics for the next decade.
Part I Introduction
.- 1 Evolutionary Robotics: Exploring New Horizons
.- Part II Invited position papers
.-2 The ‘What’, ‘How’ and the ‘Why’ of Evolutionary Robotics
.-3 Why Evolutionary Robotics Will Matter
.-4 Evolutionary Algorithms in the Design of Complex Robotic Systems
.- Part III Regular contributions
.-5 Evolving Monolithic Robot Controllers Through Incremental Shaping
.-6 Evolutionary Algorithms to Analyse and Design a Controller for a FlappingWings Aircraft
.-7 On Applying Neuroevolutionary Methods to Complex Robotic Tasks
.-8 Evolutionary Design of a Robotic Manipulator for a Highly Constrained Environment
.-9 A Multi-Cellular based Self-Organizing Approach for Distributed Multi-Robot Systems
.-10 Novelty-based Multiobjectivization
.-11 Embedded Evolutionary Robotics: The (1+1)-Restart-Online Adaptation Algorithm
.-12 Automated Planning Logic Synthesis for Autonomous Unmanned Vehicles in Competitive Environments with Deceptive Adversaries
.-13 Major Feedback Loops Supporting Artificial Evolution in Multi-Modular Robotics
.-14 Evolutionary Design and Assembly Planning for Stochastic Modular Robots.